Space Weather: Monitoring and Prediction with a GPS-Data Assimilation Model

空间天气：利用 GPS 数据同化模型进行监测和预测

• 批准号: 9613947
• 负责人: Chunming Wang
• 金额: $ 24.5万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9613947&HistoricalAwards=false
• 关键词: Space; Weather; Monitoring; Prediction; GPS

The investigators will develop a data assimilation ionospheric model to be driven mainly by data obtained from the Global Positioning System (GPS). This model will overcome limitations experienced in obtaining measurements through total electron content tomography, relying on the first principle dynamical equations governing the state of the ionosphere. The main goals of the project are: (1) developing a mid- and low-latitude data assimilation model based on an existing physics-based model, (2) using the total electron content data obtained from the continuously tracking ground network of GPS receivers as input to the model, (3) using the total electron content data obtained from a low-Earth orbiter tracking GPS as input to the model, (4) deriving a 3-D field of electron density, (5) evaluating the accuracy of the model by comparing to independent measurements, and (6) evaluating the predictive power of the model by comparing predicted measurements to actual ones.

研究人员将开发一个数据同化电离层模型，主要由从全球定位系统（GPS）获得的数据驱动。 该模型将克服通过总电子含量断层扫描获得测量值所遇到的限制，依赖于控制电离层状态的第一原理动力学方程。 该项目的主要目标是：(1) 基于现有的基于物理的模型开发中低纬度数据同化模型，(2) 使用从 GPS 接收器连续跟踪地面网络获得的总电子含量数据作为模型的输入，(3) 使用从跟踪 GPS 的低地球轨道飞行器获得的总电子含量数据作为模型的输入，(4) 导出电子密度的 3-D 场，(5) 通过与独立测量值进行比较来评估模型的准确性，以及（6）通过将预测测量值与实际测量值进行比较来评估模型的预测能力。